Borisov Vladimir, Sprint Gina, Cook Diane J, Weeks Douglas L
Voiland School of Chemical and Bioengineering, Washington State University, Pullman, WA 99164 USA (
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99164 USA (
Proc IEEE Int Conf Pervasive Comput Commun Workshops. 2017 Mar;2017. doi: 10.1109/PERCOMW.2017.7917600. Epub 2017 May 4.
Restoration of functional independence in gait and vehicle transfer ability is a common goal of inpatient rehabilitation. Currently, ambulation changes tend to be subjectively assessed. To investigate more precise objective assessment of progress in inpatient rehabilitation, we quantitatively assessed gait and transfer performances over the course of rehabilitation with wearable inertial sensors for 20 patients receiving inpatient rehabilitation services. Secondarily, we asked physical therapists to provide feedback about the clinical utility of metrics derived from the sensors. Participant performance was recorded on a sequence of ambulatory tasks that closely resemble everyday activities. We developed a custom software system to process sensor signals and compute metrics that characterize ambulation performance. We quantify changes in gait and transfer ability by performing a repeated measures comparison of the metrics one week apart. Metrics showing the greatest improvement are walking speed, stride regularity, acceleration root mean square, walking smoothness, shank peak angular velocity, and shank range of motion. Furthermore, feedback from physical therapists suggests that wearable sensor-derived metrics can potentially provide rehabilitation therapists with additional valuable information to aid in treatment decisions.
恢复步态和车辆转移能力方面的功能独立性是住院康复的一个共同目标。目前,步行变化往往是通过主观评估的。为了研究对住院康复进展进行更精确的客观评估,我们使用可穿戴惯性传感器对20名接受住院康复服务的患者在康复过程中的步态和转移表现进行了定量评估。其次,我们请物理治疗师对从传感器得出的指标的临床实用性提供反馈。参与者在一系列与日常活动非常相似的步行任务中的表现被记录下来。我们开发了一个定制软件系统来处理传感器信号并计算表征步行表现的指标。我们通过对相隔一周的指标进行重复测量比较来量化步态和转移能力的变化。显示出最大改善的指标是步行速度、步幅规律性、加速度均方根、步行平稳性、小腿峰值角速度和小腿运动范围。此外,物理治疗师的反馈表明,可穿戴传感器得出的指标可能会为康复治疗师提供额外的有价值信息,以帮助做出治疗决策。